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Part 2: RAG Architecture: How Retrieval-Augmented Generation Actually Works

DEV Community·Bhargav Patel·22 days ago
#EPRg9C41
#ai#architecture#rag#vector#pipeline#query
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Now that we understand what RAG is and why it is so popular, let’s understand how RAG actually works in real systems. So now we will talk about the complete RAG pipeline . RAG pipeline has two main components: First is called the ingestion pipeline Second is called the retrieval pipeline These are very important concepts, but they are actually very simple once you understand them. 1. Ingestion Pipeline Let’s first understand the ingestion pipeline. Ingestion pipeline basically means how we prepare the data before giving it to the model. You can think of it like preparing an open book before the exam. We first prepare all the information in a structured format so that the model can later access it easily. Step 1: Collect Data First we collect all the data. This data can be anything like: PDF files simple documents Excel files websites or even an entire company’s internal database So basically, we take all possible sources of information.…

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